Crypto Bill Stalls Amid Senate Focus On Inflation – A Quick Look

bitcoinistОпубліковано о 2026-01-22Востаннє оновлено о 2026-01-22

Анотація

A major US cryptocurrency bill has stalled in the Senate as lawmakers shift focus to inflation and housing initiatives. The delay comes amid pushback from industry players like Coinbase, which withdrew support over concerns that the proposed rules could restrict stablecoin operations. The uncertainty has contributed to market volatility, with Bitcoin's price fluctuating around $89,927. Meanwhile, an alternative legislative approach is emerging from the Senate Agriculture Committee, which proposes regulating certain digital tokens as commodities rather than securities. This could provide a separate pathway forward amid the current deadlock. Although the bill is not considered dead, time is running short due to upcoming elections and competing legislative priorities. Supporters continue working behind the scenes to revise the proposal and gather votes, but if an agreement isn’t reached by late February, the legislation may not pass.

Now hanging in uncertainty, a big US cryptocurrency bill meant to set firmer ground for trading platforms, digital tokens and stablecoins lost its urgent status among Congress leaders. Attention shifting elsewhere, several influential senators paused work on it this week. Talks continue behind the scenes, aiming to fix unresolved parts before moving forward.

Lawmakers Focus On Housing

A handful of senators shift attention toward affordable housing plans linked to US President Donald Trump’s priorities. This move shrinks the chance for quick approval of the cryptocurrency legislation. Time runs short as political energy flows elsewhere.

Now the Banking Committee changed its timeline because of that move, so the expected vote on the bill got delayed for now. This puts a pause on efforts to build one clear system.

Big Industry Pushback

Out of nowhere, Coinbase stopped backing the plan. Its executives said the proposal might limit how stablecoins work, affecting services people rely on. That shift made them step away quietly. Right after, the group in charge paused things as well.

That shift laid bare growing tensions. Not every bank welcomed the rise of stablecoins. Rivalry looms when digital coin returns gain wider reach. Some financial players see threat in that growth.

BTCUSD now trading at $89,927. Chart: TradingView

Industry Response And Market Effects

Fear spread through trading floors. When talks got delayed, digital currencies started falling because people began questioning how much longer the arguing could last – alongside what kind of outcome might finally emerge.

Useful, perhaps, if waiting brings sharper rules. Still, dragging too long risks confusing banks more, leaving them unsure when to act.

Separate Tracks Emerge

Ahead of the curve, some lawmakers are eyeing a fresh approach where certain digital tokens fall under commodity rules. This version, quietly shared by the Senate Agriculture team, might follow its own path forward – timing unclear.

Image: AI-CIO

While others debate classification, this draft sidesteps the main gridlock and suggests an alternate route through regulatory terrain.

One path might still move forward, even if the Banking Committee’s proposal gets stuck. Still, running two versions at once brings up concerns – how will they merge them should both make it to debate?

Crypto Bill: What Might Happen Next

Few believe it’s dead, though time slips fast. Elections loom; attention wanders. Agreement must come soon, or nothing sticks.

Some members of Congress quietly say pushing into late February could kill chances, yet backers still meet out of view to adjust the proposal and pull in more votes.

Featured image from Unsplash, chart from TradingView

Пов'язані питання

QWhy did the US cryptocurrency bill lose its urgent status in Congress?

AThe bill lost its urgent status because several influential senators shifted their attention to affordable housing plans linked to President Trump's priorities, reducing the chance for quick approval.

QWhat was Coinbase's reason for withdrawing support for the cryptocurrency bill?

ACoinbase stopped backing the plan because its executives believed the proposal might limit how stablecoins work, which could affect services that people rely on.

QHow did the delay in legislative talks affect the cryptocurrency market?

AThe delay caused fear and uncertainty in trading floors, leading to a fall in digital currency prices as investors questioned how long the arguing would last and what the final outcome might be.

QWhat alternative regulatory approach are some lawmakers considering for digital tokens?

ASome lawmakers are considering a fresh approach where certain digital tokens would fall under commodity rules, as proposed in a draft quietly shared by the Senate Agriculture team.

QWhat is the potential consequence if an agreement on the crypto bill is not reached soon?

AIf an agreement is not reached soon, the bill may not pass due to looming elections and shifting political attention, with some Congress members suggesting that pushing into late February could kill its chances.

Пов'язані матеріали

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit13 год тому

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit13 год тому

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit14 год тому

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit14 год тому

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit15 год тому

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit15 год тому

Торгівля

Спот
Ф'ючерси
活动图片